在过去的十年中，单细胞组学（SCO）技术的进展使得我们能以前所未有的分辨率和规模研究细胞的异质性，为理解人类生物学和疾病开辟了新的途径。在本综述中，我们总结了基于测序的SCO技术和计算方法的发展，并关注了从SCO测序研究中获得的重要见解，以了解正常和疾病属性，特别强调癌症研究。我们还讨论了SCO的技术改进，其对人类基础研究的可能贡献，以及其在人类疾病的临床诊断和个体化治疗方面的巨大潜力。版权所有 © 2023 Elsevier B.V. 发布

Over the past decade, advances in single-cell omics (SCO) technologies have enabled the investigation of cellular heterogeneity at an unprecedented resolution and scale, opening a new avenue for understanding human biology and disease. In this review, we summarize the developments of sequencing-based SCO technologies and computational methods, and focus on considerable insights acquired from SCO sequencing studies to understand normal and diseased properties, with a particular emphasis on cancer research. We also discuss the technological improvements of SCO, its possible contribution to fundamental research of the human, as well as its great potential in clinical diagnosis and personalized therapy of human disease.Copyright © 2023. Published by Elsevier B.V.